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Record W1583972916 · doi:10.5772/9885

A Proposed Care Model for Complex Chronic Condition: Multiple Chemical Sensitivity

2010· book-chapter· en· W1583972916 on OpenAlexaffabout
Roy Fox, Tara Sampalli, Jonathan Fox

Bibliographic record

VenueHealth Management · 2010
Typebook-chapter
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsCapital District Health Authority
Fundersnot available
KeywordsWorkloadMedicineDiseaseHealth careMedical diagnosisPopulationChronic diseaseIntensive care medicineManaged careOrgan systemNursingMedical emergencyComputer science

Abstract

fetched live from OpenAlex

The limited treatment options and the inability for most patients to find any kind of effective medical treatment lead to the establishment of the Nova Scotia Environmental Health Centre. The multidisciplinary approach grew out of the recognition of the complex interactions that span multiple health dimensions and appear to govern the well-being of individuals with this illness; and the ineffectiveness of uni-dimensional treatment models in addressing the multitude of symptoms. It soon became clear that improving health of both body and mind alleviated suffering and reduced disability. The care model for a complex chronic illness discussed in this chapter focuses on multiple chemical sensitivity. The findings reported here are undoubtedly relevant to other complex, chronic illnesses of uncertain etiology when there is often limited understanding of pathogenesis. We have shown that poorly understood chronic medical conditions which result in significant health care costs and disability can be helped by an interdisciplinary approach which focuses on movement to health – salutogenesis rather than pathogenesis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.032
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0040.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0310.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.350
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2010
Admission routes2
Has abstractyes

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